@article {Shparberg:2022:1525-4011:15,
title = "Enhanced Electronic Grammars Online",
journal = "The Charleston Advisor",
parent_itemid = "infobike://annurev/tca",
publishercode ="annurev",
year = "2022",
volume = "24",
number = "1",
publication date ="2022-07-01T00:00:00",
pages = "15-18",
itemtype = "ARTICLE",
issn = "1525-4011",
eissn = "1525-4003",
url = "https://annurev.publisher.ingentaconnect.com/content/annurev/tca/2022/00000024/00000001/art00006",
doi = "doi:10.5260/chara.24.1.15",
author = "Shparberg, Anna L.",
abstract = "Enhanced Electronic Grammars Online (EEG) is a full-text linguistics database available on the De Gruyter platform. EEG offers the ability to conduct searches across dozens of comprehensive grammars describing rare and endangered world languages. Intended for use by researchers into
general linguistics and linguistic typology, EEG would also be a good resource for undergraduate teaching. The review notes some issues with the search interface and metadata.",
}